Cognitive Recommendations for First Responders

1. A computer-implemented method within a computer hardware system including a sensor gateway, a data collector, a cognitive engine, a cognitive reporter, and a cognitive dispatch, comprising: receiving, using a computer communication protocol and by the sensor gateway, real time sensor data from a plurality of sensors disposed external to the computer hardware system; aggregating, by the sensor gateway, the real time sensor data from the plurality of sensors and providing the aggregated real time sensor data to the cognitive engine; retrieving, by a data collector and in response to a request from the cognitive engine, comparison data from computer data sources using a universal resource locator (URL) that is specific to a data type being requested; generating, using the cognitive engine employing an artificial neural network, a predicted event by correlating the real time sensor data with historical data for a plurality of prior incidents retrieved by the data collector and including the comparison data; automatically creating, by the cognitive dispatch and based upon the predicted event, a dispatch message for a preliminary responder team; sending, by the cognitive dispatch and responsive to the cognitive incident reporter, the dispatch message by triggering a pushing messaging system to deliver the dispatch message to responder devices receiving, by the cognitive engine, additional information including information collected from the preliminary responding team and from the real time sensor data and the data sources; and determining, by the cognitive engine employing the artificial neural network, a recommended next action based upon the additional information, wherein the creating the dispatch message occurs prior to an emergency occurring.

2. The method of claim 1 , wherein the correlating determines a selected prior incident matching the real time sensor data, and the recommended next action is determined from a next action taken for the selected prior incident.

3. The method of claim 1 , further comprising: analyzing a social networking platform feed to detect events correlated with the real time sensor data, wherein the recommended next action is updated according to the events.

4. The method of claim 1 , wherein the recommended next action indicates a resource to dispatch.

5. The method of claim 4 , wherein the recommended next action indicates an amount of the resource to dispatch.

6. The method of claim 1 , further comprising: determining currently dispatched resources for an incident, wherein the recommended next action is determined based upon the currently dispatched resources.

7. A computer-hardware system including a sensor gateway, a data collector, a cognitive engine, a cognitive reporter, and a cognitive dispatch, comprising: a processor configured to initiate executable operations including: aggregating, by the sensor gateway, the real time sensor data from the plurality of sensors and providing the aggregated real time sensor data to the cognitive engine; retrieving, by a data collector and in response to a request from the cognitive engine, comparison data from computer data sources using a universal resource locator (URL) that is specific to a data type being requested; generating, using the cognitive engine employing an artificial neural network, a predicted event by correlating the real time sensor data with historical data for a plurality of prior incidents retrieved by the data collector and including the comparison data; automatically creating, by the cognitive dispatch and based upon the predicted event, a dispatch message for a preliminary responder team; sending, by the cognitive dispatch and responsive to the cognitive incident reporter, the dispatch message by triggering a pushing messaging system to deliver the dispatch message to responder devices receiving, by the cognitive engine, additional information including information collected from the preliminary responding team and from the real time sensor data and the data sources; and determining, by the cognitive engine employing the artificial neural network, a recommended next action based upon the additional information, wherein the creating the dispatch message occurs prior to an emergency occurring.

8. The system of claim 7 , wherein the correlating determines a selected prior incident matching the real time sensor data, and the recommended next action is determined from a next action taken for the selected prior incident.

9. The system of claim 7 , wherein the processor is configured to initiate executable operations further including: analyzing a social networking platform feed to detect events correlated with the real time sensor data, wherein the recommended next action is updated according to the events.

10. The system of claim 7 , wherein the recommended next action indicates a resource to dispatch.

11. The system of claim 10 , wherein the recommended next action indicates an amount of the resource to dispatch.

12. The system of claim 7 , wherein the processor is configured to initiate executable operations further including: determining currently dispatched resources for an incident, wherein the recommended next action is determined based upon the currently dispatched resources.

13. A computer program product, comprising: a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer hardware system including a sensor gateway, a data collector, a cognitive engine, a cognitive reporter, and a cognitive dispatch to cause the computer hardware system to perform: receiving, using a computer communication protocol and by the sensor gateway, real time sensor data from a plurality of sensors disposed external to the computer hardware system; aggregating, by the sensor gateway, the real time sensor data from the plurality of sensors and providing the aggregated real time sensor data to the cognitive engine; retrieving, by a data collector and in response to a request from the cognitive engine, comparison data from computer data sources using a universal resource locator CURL) that is specific to a data type being requested; generating, using the cognitive engine employing an artificial neural network, a predicted event by correlating the real time sensor data with historical data for a plurality of prior incidents retrieved by the data collector and including the comparison data; automatically creating, by the cognitive dispatch and based upon the predicted event, a dispatch message for a preliminary responder team; sending, by the cognitive dispatch and responsive to the cognitive incident reporter, the dispatch message by triggering a pushing messaging system to deliver the dispatch message to responder devices receiving, by the cognitive engine, additional information including information collected from the preliminary responding team and from the real time sensor data and the data sources; and determining, by the cognitive engine employing the artificial neural network, a recommended next action based upon the additional information, wherein the creating the dispatch message occurs prior to an emergency occurring.

14. The computer program product of claim 13 , wherein the correlating determines a selected prior incident matching the real time sensor data, and determining a plurality of candidate next actions from the operating procedure and selecting the recommended candidate next action is determined from the operating procedure that matches the a next action taken for the selected prior incident as the recommended next action.

15. The computer program product of claim 13 , wherein a social networking platform feed is analyzed to detect events correlated with the real time sensor data, and the recommended next action is updated according to the events.

16. The computer program product of claim 13 , wherein the recommended next action indicates a resource to dispatch.

17. The computer program product of claim 16 , wherein the recommended next action indicates an amount of the resource to dispatch.

18. The computer program product of claim 13 , wherein determining currently dispatched resources are determined for an incident, and the recommended next action is determined based upon the currently dispatched resources.